Description

Senior Data Engineer Foster City, California Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.
We believe in: • The direct measurability of digital media. • Performance marketing. (We pioneered it.) • The advantages of technology. • We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel. Covid-19 Hiring Update: As a company, we’ve transitioned to a work-from-home model and will continue to interview and full-time during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.

Requirements

Job Category In this role, you will have the opportunity to understand complex data for click streams, online direct marketing and fin-tech source systems. This role heavily involves building pipelines, which will provide selected candidate an opportunity to understand how large volume of data flows in source systems, relationships and opportunity to build analytical data systems.
Responsibilities • Collaborate effectively with stakeholders, and cross functional teams. • Build and maintain data pipelines based on functional and architectural specifications. • Ensure that data pipelines incorporate best practices related to high performance, fault tolerance, instrumentation, logging, and data driven functionality. • Work in an Agile environment.

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